Detection of Tomato Diseases Leaf Symptoms Using Image Processing Deep Learning Based Approach

Abstract

Tomato is most popular vegetable all over the world. It’s cultivated of high nutritive value. During cultivation tomato leaves expose too many problems and diseases like blight, bacterial spot, early blight, healthy, late blight, leaf mold, sectorial leaf spot ,spider mites two spotted spider mite, target spot, tomato mosaic virus, tomato yellow leaf curl virus etc. So it is necessary to detect these disease so to check their spread and to prevent any undesirable condition. Detection and Identification of these disease on manual level is a very tedious and time consuming process. In this thesis help to understand Detection of tomato diseases leaf symptoms using image processing deep learning-based Approach. I have used tomato leaf as an input value and using artificial intelligence for checking accuracy. My Accuracy rate is 98.1 % on the research of 10490 tomato leaf dataset.